From sparse selection to risk prediction: Approximate message passing for proteomic survival models and large-scale genomics
A. Depope, From Sparse Selection to Risk Prediction: Approximate Message Passing for Proteomic Survival Models and Large-Scale Genomics, Institute of Science and Technology Austria, 2026.

Joint modeling of whole-genome sequencing data for human height via approximate message passing
A. Depope, J. Bajzik, M. Mondelli, M.R. Robinson, Cell Genomics 6 (2026).

Spurious correlations in high dimensional regression: The roles of regularization, simplicity bias and over-parameterization
S. Bombari, M. Mondelli, in:, Proceedings of the 42nd International Conference on Machine Learning, ML Research Press, 2025, pp. 4839–4873.

Test-time training provably improves transformers as in-context learners
H.A. Gozeten, M.E. Ildiz, X. Zhang, M. Soltanolkotabi, M. Mondelli, S. Oymak, in:, Proceedings of the 42nd International Conference on Machine Learning, ML Research Press, 2025, pp. 20266–20295.

Spectral estimators for multi-index models: Precise asymptotics and optimal weak recovery
F. Kovadevi, Z. Yihan, M. Mondelli, in:, Proceedings of 38th Conference on Learning Theory, ML Research Press, 2025, pp. 3354–3404.

High-dimensional analysis of knowledge distillation: Weak-to-Strong generalization and scaling laws
M. Emrullah Ildiz, H.A. Gozeten, E.O. Taga, M. Mondelli, S. Oymak, in:, 13th International Conference on Learning Representations, ICLR, 2025, pp. 2967–3006.

Wide neural networks trained with weight decay provably exhibit neural collapse
A. Jacot, P. Súkeník, Z. Wang, M. Mondelli, in:, 13th International Conference on Learning Representations, ICLR, 2025, pp. 1905–1931.